{"id":"W4361768408","doi":"10.7202/1097750ar","title":"BERT, GPT-3, Timnit Gebru et nous","year":2023,"lang":"fr","type":"article","venue":"Sociologie et sociétés","topic":"Explainable Artificial Intelligence (XAI)","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Humanities; Philosophy; Political science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00418235,0.0006097532,0.0007106506,0.0002082994,0.0007568854,0.0005518927,0.002269892,0.0009763316,0.002307442],"category_scores_gemma":[0.00206403,0.0005798013,0.0005477155,0.001522051,0.001091553,0.001448515,0.00171498,0.001574418,0.02577428],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004418968,"about_ca_system_score_gemma":0.0009653613,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007993867,"about_ca_topic_score_gemma":0.00008589981,"domain_scores_codex":[0.9936233,0.00151684,0.0008116469,0.001323268,0.0006817037,0.002043201],"domain_scores_gemma":[0.9944798,0.003136072,0.000318097,0.001332921,0.0004021354,0.0003309754],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00002030885,0.0003448584,0.0009981067,0.0001334648,0.0002336774,0.0008013919,0.0291236,0.003111217,0.0009896772,0.6013344,0.2515171,0.1113921],"study_design_scores_gemma":[0.000433966,0.0006009727,0.0027213,0.0001706621,0.00007014936,0.00004319892,0.01307685,0.02817399,0.003338192,0.8218718,0.1280892,0.001409757],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.0543576,0.0103294,0.08655502,0.6921665,0.03970151,0.001808777,0.0001896962,0.005203743,0.1096877],"genre_scores_gemma":[0.8001288,0.01657953,0.01141444,0.02251677,0.001508815,0.0003250113,0.0001744407,0.0002177162,0.1471345],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7457712,"threshold_uncertainty_score":0.9996653,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5725789724907827,"score_gpt":0.5342138553928406,"score_spread":0.0383651170979421,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}